The MATLAB toolbox for MEG, EEG and iEEG analysis
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Updated
Dec 11, 2024 - MATLAB
The MATLAB toolbox for MEG, EEG and iEEG analysis
fMRIPrep is a robust and easy-to-use pipeline for preprocessing of diverse fMRI data. The transparent workflow dispenses of manual intervention, thereby ensuring the reproducibility of the results.
Brain Imaging Data Structure (BIDS) Specification
Validator for the Brain Imaging Data Structure
A set of BIDS compatible datasets with empty raw data files that can be used for writing lightweight software tests.
Reorganising NIfTI files from dcm2niix into the Brain Imaging Data Structure
Automatically process entire electrophysiological datasets using MNE-Python.
Preprocessing of diffusion MRI
MNE-BIDS is a Python package that allows you to read and write BIDS-compatible datasets with the help of MNE-Python.
BIDScoin converts your source-level neuroimaging data to BIDS
A free and open platform for analyzing and sharing neuroimaging data
micapipe from the Multimodal imaging and connectome analysis lab (http://mica-mni.github.io) at the Montreal Neurological Institute. Read The Docs documentation below
A Visual Studio extension that enhances development functionality in Business Intelligence Development Studio (BIDS) and SQL Server Data Tools (SSDT).
Temporal Network Tools
ENIGMA HALFpipe is a user-friendly software that facilitates reproducible analysis of fMRI data
Connectome Mapper 3 is a BIDS App that implements full anatomical, diffusion, resting/state functional MRI, and recently EEG processing pipelines, from raw T1 / DWI / BOLD , and preprocessed EEG data to multi-resolution brain parcellation with corresponding connection matrices.
dMRIPrep is a robust and easy-to-use pipeline for preprocessing of diverse dMRI data. The transparent workflow dispenses of manual intervention, thereby ensuring the reproducibility of the results.
Python3 library to format physiological files in BIDS. At the moment, it supports Acqknowledge and Labchart. BrainHack participants, check the issues with the BrainHack labels!
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